Research Article

Intelligent Malaysian Sign Language Translation System Using Convolutional-Based Attention Module with Residual Network

Table 2

Comparison table for CBAM-2DResNet “within blocks” and “before classifier.”

MetricsCBAM-2DResNet “within blocks”CBAM-2DResNet “before classifier”

Training duration16040.79 seconds4860.23 seconds
Lowest validation loss0.02140.0210
Highest validation accuracy99.29%99.39%
F1-score achieved0.990.99
Generalisation performanceGood fitGood fit